Christopher J. Anders
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
Papers in
-
- Explainable Artificial Intelligence (XAI) 4
- Adversarial Robustness in Machine Learning 3
- Machine Learning and Data Classification 3
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- Theoretical and Computational Physics 4
- Physics of Superconductivity and Magnetism 1
- Co-authors
- Klaus‐Robert Müller (3 shared papers)Wojciech Samek (2 shared papers)Sebastian Lapuschkin (2 shared papers)Grégoire Montavon (2 shared papers)Pan Kessel (6 shared papers)Tobias Hartung (3 shared papers)Karl Jansen (4 shared papers)Kim A. Nicoli (4 shared papers)
- Journals
- Pattern Recognition (1 paper)Physical review. D (1 paper)Proceedings of the IEEE (1 paper)Physical Review Letters (1 paper)PubMed (1 paper)
- Partner nations
- GermanyJapanSwitzerland
In The Last Decade
Christopher J. Anders
9 papers receiving 887 citations
Christopher J. Anders's Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 37
- Artificial Intelligence 391
- Computer Vision and Pattern Recognition 95
- Biophysics 25
- Statistical and Nonlinear Physics 54
Countries citing papers authored by Christopher J. Anders
This map shows the geographic impact of Christopher J. Anders's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher J. Anders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Anders more than expected).
Fields of papers citing papers by Christopher J. Anders
This network shows the impact of papers produced by Christopher J. Anders. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher J. Anders. The network helps show where Christopher J. Anders may publish in the future.
Co-authors
The 16 scholars most cited alongside Christopher J. Anders, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Hit paper breakdown → | 2021 | 755 |
| 2 | 2021 | 73 | |
| 3 | 2021 | 28 | |
| 4 | 2023 | 17 | |
| 5 | Explanations can be manipulated and geometry is to blame | 2019 | 10 |
| 6 | 2022 | 10 | |
| 7 | Op-Site skin closure: a comparison with subcuticular and interrupted sutures. | 1983 | 9 |
| 8 | 2024 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 |
About Christopher J. Anders
Christopher J. Anders is a scholar working on Artificial Intelligence, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Economics and Econometrics and Surgery, having authored 10 papers that have together received 906 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Adversarial Robustness in Machine Learning (3 papers), Machine Learning and Data Classification (3 papers), Quantum many-body systems (2 papers), Complex Systems and Time Series Analysis (2 papers), Wound Healing and Treatments (1 paper) and Physics of Superconductivity and Magnetism (1 paper). The work is most often cited by research in Health Informatics (37 citations), Artificial Intelligence (391 citations), Computer Vision and Pattern Recognition (95 citations), Biophysics (25 citations) and Statistical and Nonlinear Physics (54 citations). Christopher J. Anders has collaborated with scholars based in Germany, Japan and Switzerland. Frequent co-authors include Klaus‐Robert Müller, Wojciech Samek, Sebastian Lapuschkin, Grégoire Montavon, Pan Kessel, Tobias Hartung, Karl Jansen, Kim A. Nicoli, Shinichi Nakajima and Lena Funcke. Their work appears in journals such as Pattern Recognition, Physical review. D, Proceedings of the IEEE, Physical Review Letters and PubMed.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.